Yes
This paper proposes the application of a hybrid genetic
algorithm (GA) for scheduling storage tanks. The proposed
approach integrates GAs and heuristic rule-based techniques,
decomposing the complex mixed-integer optimization problem
into integer and real-number subproblems. The GA string considers
the integer problem and the heuristic approach solves the
real-number problems within the GA framework. The algorithm
is demonstrated for three test scenarios of a water treatment
facility at a port and has been found to be robust and to give a
significantly better schedule than those generated using a random
search and a heuristic-based approach.